{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Set Up + Imports"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Working directory: /home/facosta/neurometry/neurometry\n",
"Directory added to path: /home/facosta/neurometry\n",
"Directory added to path: /home/facosta/neurometry/neurometry\n"
]
},
{
"data": {
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import setup\n",
"\n",
"setup.main()\n",
"%load_ext autoreload\n",
"%autoreload 2\n",
"%load_ext jupyter_black\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Single-Agent Representations"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load Single-Agent activations"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-05-16 16:56:39.579078: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"2024-05-16 16:56:40.235490: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
]
}
],
"source": [
"import os\n",
"import sys\n",
"\n",
"path = os.path.join(os.getcwd(), \"datasets/rnn_grid_cells\")\n",
"sys.path.append(path)\n",
"from neurometry.datasets.load_rnn_grid_cells import load_activations"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 0 found.\n",
"Epoch 5 found.\n",
"Epoch 10 found.\n",
"Epoch 15 found.\n",
"Epoch 20 found.\n",
"Epoch 25 found.\n",
"Epoch 30 found.\n",
"Epoch 35 found.\n",
"Epoch 40 found.\n",
"Epoch 45 found.\n",
"Epoch 50 found.\n",
"Epoch 55 found.\n",
"Epoch 60 found.\n",
"Epoch 65 found.\n",
"Epoch 70 found.\n",
"Epoch 75 found.\n",
"Epoch 80 found.\n",
"Epoch 85 found.\n",
"Loaded epochs [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85] of single agent model.\n",
"activations has shape (4096, 20, 20, 50). There are 4096 grid cells with 20 x 20 environment resolution, averaged over 50 trajectories.\n",
"state_points has shape (4096, 20000). There are 20000 data points in the 4096-dimensional state space.\n",
"rate_maps has shape (4096, 400). There are 400 data points averaged over 50 trajectories in the 4096-dimensional state space.\n"
]
}
],
"source": [
"parent_dir = path\n",
"single_model_folder = \"Single agent path integration/Seed 1 weight decay 1e-06\"\n",
"single_model_parameters = \"steps_20_batch_200_RNN_4096_relu_rf_012_DoG_True_periodic_False_lr_00001_weight_decay_1e-06\"\n",
"\n",
"\n",
"single_file_path = os.path.join(\n",
" parent_dir, single_model_folder, single_model_parameters\n",
")\n",
"\n",
"\n",
"epochs = list(range(0, 90, 5))\n",
"\n",
"(\n",
" single_agent_activations,\n",
" single_agent_rate_maps,\n",
" single_agent_state_points,\n",
") = load_activations(epochs, single_file_path, version=\"single\", verbose=True)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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